simpeg.electromagnetics.viscous_remanent_magnetization.Simulation3DLinear#

class simpeg.electromagnetics.viscous_remanent_magnetization.Simulation3DLinear(mesh, xi=None, xiMap=None, **kwargs)[source]#

Attributes

`A`	The geometric sensitivity matrix for the linear VRM problem.
`T`	The characteristic decay matrix for the VRM problem.
`active_cells`	Topography active cells.
`clean_on_model_update`	A list of solver objects to clean when the model is updated
`counter`	SimPEG `Counter` object to store iterations and run-times.
`deleteTheseOnModelUpdate`	HasModel.deleteTheseOnModelUpdate has been deprecated.
`indActive`	active_cells.indActive has been deprecated.
`mesh`	Mesh for the integral VRM simulations.
`model`	The inversion model.
`needs_model`	True if a model is necessary
`refinement_distance`	Sensitivity refinement radii from sources.
`refinement_factor`	The number of refinement distances.
`sensitivity_path`	Path to directory where sensitivity file is stored.
`survey`	The VRM survey.
`verbose`	Verbose progress printout.
`xi`	Amalgamated viscous remanent magnetization parameter xi = dchi/ln(tau2/tau1) physical property model.
`xiDeriv`	Derivative of Amalgamated Viscous Remanent Magnetization Parameter xi = dchi/ln(tau2/tau1) wrt the model.
`xiMap`	Mapping of the inversion model to Amalgamated Viscous Remanent Magnetization Parameter xi = dchi/ln(tau2/tau1).

Methods

`Jtvec`(m, v[, f])	Compute (PdTAdxidm)^T v
`Jtvec_approx`(m, v[, f])	Approximation of the Jacobian transpose times a vector for the model provided.
`Jvec`(m, v[, f])	Compute PdTAdxidmv
`Jvec_approx`(m, v[, f])	Approximation of the Jacobian times a vector for the model provided.
`fields`(m)	Computes the fields d = TAm
`make_synthetic_data`(m[, relative_error, ...])	Make synthetic data for the model and Gaussian noise provided.
`residual`(m, dobs[, f])	The data residual.